Clinical Data Engineer

Join the Healthcare Data Revolution!

Are you passionate about the power of data? How about unlocking the potential of patient data through AI and NLP technologies? Supporting pharmaceutical innovation and clinical development? LynxCare, a fast-growing scale-up in Belgium, is seeking a Clinical Data Engineer to help us lead the transformation of global healthcare data to improve patient outcomes and quality of care.

As a Clinical Data Engineer, you will be instrumental in building and maintaining LynxCare's clinical databases, collaborating with internal and external stakeholders, and ensuring the scalability, reliability, and performance of our data processes and quality procedures.

About LynxCare:

LynxCare is a Belgian clinical informatics company headquartered in Leuven. Co-founded in 2015 by Dr. Dries Hens, it builds and operates hospital databases that structure clinical data at the source using its own clinical language models, enabling life sciences companies to generate real-world evidence through observational studies. Its federated model supports multi-hospital, multi-country research while keeping patient data within the hospitals that hold it. LynxCare works with partner hospitals in Belgium, Spain, France and Germany and is backed by Elaia, HERAN Partners, Holland Capital, b2venture and Matterwave Ventures, MTIP, and Vassoyan Conseil. Learn more at LynxCare | Real-World Data & Clinical NLP for Trusted Healthcare Insights

What LynxCare offers:

• A chance to be at the forefront of healthcare data innovation, working with a team of 25 highly motivated clinical and data experts.
• A fast-growing, welcoming environment, where initiative is valued and personal/professional growth is supported.
• At LynxCare, we are guided by Shared Purpose, Balanced Excellence, Trustworthiness, Entrepreneurial Discipline and Courageous Presence. They reflect how we work together to meaningfully impact patients’ lives, maintain the highest standards of quality, build trust and combine bold innovation with disciplined execution.
• Attractive salary package, incl. extralegal benefits such as mobility budget, hospitalization insurance, group insurance, meal-vouchers, net cost-allowance and reimbursement of mobile telco subscription

Job Description

As a Clinical Data Engineer, you work in the database operations team to successfully deliver NLP-enriched Real-World-Evidence databases for Life Science Research. You are responsible for building and maintaining high quality healthcare databases, including:

• Define project-specific data intake requirements and verify data sources for conformance, plausibility and completeness. Communicate with hospitals and healthcare partners about data access to resolve data gaps.
• Manage data uploads for multiple hospitals and therapeutic areas, including cardiology and oncology
• Collaborate with the engineering team to improve robustness, scalability, and maintainability of data ingestion and ETL pipelines.
• Plan and execute data quality assessment, issue investigations and quality improvements for NLP enriched databases. Leverage our automated QA tool to safeguard database quality and adapt/expand it to new use-cases.
• Oversee the correct usage of medical ontology libraries and population of OMOP CDM
• Coordinate database build timelines and collaborate with cross-functional teams to ensure timely project delivery.
• Implement feedback from clinicians and data scientists on database quality.
• Follow developments within the OHDSI and EHDS communities. Support adoption of best practices and emerging standards in healthcare data engineering

You have:

• 1-3 years working experience with (large) datasets including data transformation, data engineering and/or data quality control
• Programming skills in Python and SQL, and motivation to learn PySpark
• Training or interest in (para)medical topics or health care
• Team player mindset with an analytic problem-solving mind and an eye for detail.
• Effective communicator with diligence and strong sense of accountability
• Languages: Professional English

You have (nice to have):

(= technologies/expertise you will be exposed to, but for which previous experience is not a must to be considered for the job):

• Experience with PySpark
• Understanding of clinical data and healthcare data standards
• Knowledge of medical ontology libraries (e.g. UMLS, Athena) and OMOP CDM
• Experience with NLP or other types of machine learning
• Dutch, French, German, Spanish or Italian (Basic proficiency or higher)

Join us in our mission to transform healthcare through data innovation!